Illumination Compensation And Image Denoising for Low-Light Images Based on Deep Learning

Li, Hong; Xia, Yao Wen; Yang, Guangsong; Lv, Pan Pan

doi:10.1145/3387168.3387243

Cited by 1 publication

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…of cluster of centroids' in the group and means refers centroid centre point with respect to that centroid or cluster formed with in the given data set [11]. The commonly used data clustering method is k-means clustering where k is the number of clusters to which data is divided [12][13][14]. Deciding the number of clusters is tricky and data-dependent, and is often decided by elbow method, which works on heuristics.…”

Section: Classification Of Machine Learning As Followsmentioning

confidence: 99%

Solving Image Processing Critical Problems Using Machine Learning

Sharma

Gupta

Jaiswal

2021

Studies in Big Data

View full text Add to dashboard Cite

The history of vision can go back around 543 BC. From fossil studies, researchers found out that no. of animal species floats out and soon develops the first animal with eyes. As evolution in bigger species around fifty percent of neurons in our body are involved in the visual processing. Vision allows human to perceive, comprehend, and understand surrounding them while computer vision aims to duplicate the impact of human vision electronically in the form of images. The history of making artificial vison starts around 1545, Gemma Frisius, and Encylopedie in eighteenth century. The foundation period of the concept lies from 1943 to 1956, during this period research is cantered towards understanding the concept of machine learning intelligence, artificial neural system, and automata theory computation. The first work in the field of Artificial intelligence in computer vision and image processing was done in MIT called "Summer Vision Project". The rise of artificial intelligence starts and it is used widely in every field of technology. As the technology advances machine learning is used in almost every field. This book chapter provides you some details how the machine learning is used in image processing and to solve the current problem and challenge in computer vison like: Denoising, Image compression, Image color enhancement, segmentation, etc. Machine learning algorithm like Neural Network, Support Vector Machine, Genetic Algorithm, Convolutional Neural Network, etc. were discussed in the book chapter.

show abstract